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A study of phoneme and grapheme based context-dependent ASR systems

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A study of phoneme and grapheme based context-dependent ASR systems

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Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks

Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks

Applying Multi- and Cross-Lingual Stochastic Phone Space Transformations to Non-Native Speech Recognition

ACCENT ADAPTATION USING SUBSPACE GAUSSIAN MIXTURE MODELS

ACCENT ADAPTATION USING SUBSPACE GAUSSIAN MIXTURE MODELS

Boosting Localized Features for Speaker and Speech Recognition

Boosting Localized Features for Speaker and Speech Recognition

Continuous Speech Recognition using Boosted Binary Features

Enhanced Phone Posteriors for Improving Speech Recognition Systems

Multilayer Perceptron Based Hierarchical Acoustic Modeling for Automatic Speech Recognition

Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks

ACCENT ADAPTATION USING SUBSPACE GAUSSIAN MIXTURE MODELS

ACCENT ADAPTATION USING SUBSPACE GAUSSIAN MIXTURE MODELS

Boosting Localized Features for Speaker and Speech Recognition

Boosting Localized Features for Speaker and Speech Recognition

Enhanced Phone Posteriors for Improving Speech Recognition Systems

Multilayer Perceptron Based Hierarchical Acoustic Modeling for Automatic Speech Recognition

Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks

Applying Multi- and Cross-Lingual Stochastic Phone Space Transformations to Non-Native Speech Recognition

Continuous Speech Recognition using Boosted Binary Features